TY - JOUR
T1 - Consensus for experimental design in electromyography (CEDE) project
T2 - single motor unit matrix
AU - Martinez-Valdes, Eduardo
AU - Enoka, Roger M
AU - Holobar, Aleš
AU - McGill, Kevin
AU - Farina, Dario
AU - Besomi, Manuela
AU - Hug, François
AU - Falla, Deborah
AU - Carson, Richard G
AU - Clancy, Edward A
AU - Disselhorst-Klug, Catherine
AU - van Dieën, Jaap H
AU - Tucker, Kylie
AU - Gandevia, Simon
AU - Lowery, Madeleine
AU - Søgaard, Karen
AU - Besier, Thor
AU - Merletti, Roberto
AU - Kiernan, Matthew C
AU - Rothwell, John C
AU - Perreault, Eric
AU - Hodges, Paul W
N1 - Copyright © 2022 Elsevier Ltd. All rights reserved.
PY - 2023/2
Y1 - 2023/2
N2 - The analysis of single motor unit (SMU) activity provides the foundation from which information about the neural strategies underlying the control of muscle force can be identified, due to the one-to-one association between the action potentials generated by an alpha motor neuron and those received by the innervated muscle fibers. Such a powerful assessment has been conventionally performed with invasive electrodes (i.e., intramuscular electromyography (EMG)), however, recent advances in signal processing techniques have enabled the identification of single motor unit (SMU) activity in high-density surface electromyography (HDsEMG) recordings. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, provides recommendations for the recording and analysis of SMU activity with both invasive (needle and fine-wire EMG) and non-invasive (HDsEMG) SMU identification methods, summarizing their advantages and disadvantages when used during different testing conditions. Recommendations for the analysis and reporting of discharge rate and peripheral (i.e., muscle fiber conduction velocity) SMU properties are also provided. The results of the Delphi process to reach consensus are contained in an appendix. This matrix is intended to help researchers to collect, report, and interpret SMU data in the context of both research and clinical applications.
AB - The analysis of single motor unit (SMU) activity provides the foundation from which information about the neural strategies underlying the control of muscle force can be identified, due to the one-to-one association between the action potentials generated by an alpha motor neuron and those received by the innervated muscle fibers. Such a powerful assessment has been conventionally performed with invasive electrodes (i.e., intramuscular electromyography (EMG)), however, recent advances in signal processing techniques have enabled the identification of single motor unit (SMU) activity in high-density surface electromyography (HDsEMG) recordings. This matrix, developed by the Consensus for Experimental Design in Electromyography (CEDE) project, provides recommendations for the recording and analysis of SMU activity with both invasive (needle and fine-wire EMG) and non-invasive (HDsEMG) SMU identification methods, summarizing their advantages and disadvantages when used during different testing conditions. Recommendations for the analysis and reporting of discharge rate and peripheral (i.e., muscle fiber conduction velocity) SMU properties are also provided. The results of the Delphi process to reach consensus are contained in an appendix. This matrix is intended to help researchers to collect, report, and interpret SMU data in the context of both research and clinical applications.
KW - Motor unit
KW - Motor neuron
KW - High-density surface electromyography
KW - Intramuscular electromyography
U2 - 10.1016/j.jelekin.2022.102726
DO - 10.1016/j.jelekin.2022.102726
M3 - Article
C2 - 36571885
SN - 1050-6411
VL - 68
JO - Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
JF - Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
M1 - 102726
ER -